Yasser Test Analysis Report

Dataset statistics

Number of variables	24
Number of observations	1134
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	912.6 KiB
Average record size in memory	824.1 B

Variable types

Numeric	13
Categorical	10
Unsupported	1

Alerts

`pickup_place` has a high cardinality: 189 distinct values	High cardinality
`item_name` has a high cardinality: 774 distinct values	High cardinality
`item_category_name` has a high cardinality: 321 distinct values	High cardinality
`how_long_it_took_to_order` has a high cardinality: 862 distinct values	High cardinality
`when_the_delivery_started` has a high cardinality: 906 distinct values	High cardinality
`when_the_courier_arrived_at_pickup` has a high cardinality: 912 distinct values	High cardinality
`when_the_courier_left_pickup` has a high cardinality: 897 distinct values	High cardinality
`when_the_courier_arrived_at_dropoff` has a high cardinality: 904 distinct values	High cardinality
`pickup_lat` is highly correlated with `pickup_lon` and 1 other fields	High correlation
`pickup_lon` is highly correlated with `pickup_lat` and 1 other fields	High correlation
`dropoff_lat` is highly correlated with `pickup_lat` and 1 other fields	High correlation
`dropoff_lon` is highly correlated with `pickup_lon` and 1 other fields	High correlation
`distance_crossed` is highly correlated with `distance_m`	High correlation
`distance_m` is highly correlated with `distance_crossed`	High correlation
`pickup_lat` is highly correlated with `pickup_lon` and 1 other fields	High correlation
`pickup_lon` is highly correlated with `pickup_lat` and 1 other fields	High correlation
`dropoff_lat` is highly correlated with `pickup_lat` and 1 other fields	High correlation
`dropoff_lon` is highly correlated with `pickup_lon` and 1 other fields	High correlation
`distance_crossed` is highly correlated with `distance_m`	High correlation
`distance_m` is highly correlated with `distance_crossed`	High correlation
`pickup_lat` is highly correlated with `dropoff_lat`	High correlation
`dropoff_lat` is highly correlated with `pickup_lat`	High correlation
`distance_crossed` is highly correlated with `distance_m`	High correlation
`distance_m` is highly correlated with `distance_crossed`	High correlation
`place_category` is highly correlated with `pickup_lat` and 3 other fields	High correlation
`pickup_lat` is highly correlated with `place_category` and 3 other fields	High correlation
`pickup_lon` is highly correlated with `place_category` and 2 other fields	High correlation
`dropoff_lat` is highly correlated with `place_category` and 4 other fields	High correlation
`dropoff_lon` is highly correlated with `place_category` and 3 other fields	High correlation
`distance_crossed` is highly correlated with `dropoff_lat` and 1 other fields	High correlation
`distance_m` is highly correlated with `dropoff_lat` and 1 other fields	High correlation
`courrier_performance` is highly skewed (γ1 = 32.33180269)	Skewed
`how_long_it_took_to_order` is uniformly distributed	Uniform
`when_the_delivery_started` is uniformly distributed	Uniform
`when_the_courier_arrived_at_pickup` is uniformly distributed	Uniform
`when_the_courier_left_pickup` is uniformly distributed	Uniform
`when_the_courier_arrived_at_dropoff` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`courrier_timing` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-01-30 12:24:38.018413
Analysis finished	2022-01-30 12:25:08.446709
Duration	30.43 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

UNIQUE

Distinct	1134
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3007.124339

Minimum	4
Maximum	5982
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	4
5-th percentile	271.95
Q1	1516.5
median	2979
Q3	4555.25
95-th percentile	5733.75
Maximum	5982
Range	5978
Interquartile range (IQR)	3038.75

Descriptive statistics

Standard deviation	1737.737003
Coefficient of variation (CV)	0.5778733457
Kurtosis	-1.199333741
Mean	3007.124339
Median Absolute Deviation (MAD)	1521.5
Skewness	-0.006510232407
Sum	3410079
Variance	3019729.89
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	1	0.1%
4003	1	0.1%
4028	1	0.1%
4024	1	0.1%
4021	1	0.1%
4019	1	0.1%
4017	1	0.1%
4007	1	0.1%
3993	1	0.1%
4036	1	0.1%
Other values (1124)	1124	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	1	0.1%
26	1	0.1%
27	1	0.1%
29	1	0.1%
32	1	0.1%
35	1	0.1%
46	1	0.1%
50	1	0.1%
57	1	0.1%
67	1	0.1%

Value	Count	Frequency (%)
5982	1	0.1%
5975	1	0.1%
5973	1	0.1%
5958	1	0.1%
5957	1	0.1%
5955	1	0.1%
5952	1	0.1%
5950	1	0.1%
5949	1	0.1%
5948	1	0.1%

delivery_id
Real number (ℝ_≥0)

Distinct	918
Distinct (%)	81.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1383667.07

Minimum	1272737
Maximum	1491424
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1272737
5-th percentile	1286826
Q1	1325357.25
median	1381432
Q3	1440464.5
95-th percentile	1480958
Maximum	1491424
Range	218687
Interquartile range (IQR)	115107.25

Descriptive statistics

Standard deviation	63921.23703
Coefficient of variation (CV)	0.0461969779
Kurtosis	-1.260885038
Mean	1383667.07
Median Absolute Deviation (MAD)	58111
Skewness	0.03135403636
Sum	1569078457
Variance	4085924544
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1374803	4	0.4%
1458212	4	0.4%
1286826	4	0.4%
1435427	4	0.4%
1451679	4	0.4%
1302788	4	0.4%
1368206	4	0.4%
1439953	4	0.4%
1289729	3	0.3%
1319803	3	0.3%
Other values (908)	1096	96.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1272737	1	0.1%
1272867	1	0.1%
1272896	1	0.1%
1273258	1	0.1%
1273986	1	0.1%
1274112	1	0.1%
1274483	2	0.2%
1274637	1	0.1%
1274791	1	0.1%
1274827	1	0.1%

Value	Count	Frequency (%)
1491424	1	0.1%
1490744	3	0.3%
1490119	2	0.2%
1489715	2	0.2%
1489444	2	0.2%
1489327	2	0.2%
1488977	2	0.2%
1488929	1	0.1%
1488897	1	0.1%
1488852	2	0.2%

customer_id
Real number (ℝ_≥0)

Distinct	767
Distinct (%)	67.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	175122.3748

Minimum	242
Maximum	404649
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	242
5-th percentile	44368.95
Q1	80795
median	133202
Q3	276192
95-th percentile	377650.4
Maximum	404649
Range	404407
Interquartile range (IQR)	195397

Descriptive statistics

Standard deviation	114493.5564
Coefficient of variation (CV)	0.6537917074
Kurtosis	-1.034138897
Mean	175122.3748
Median Absolute Deviation (MAD)	68808
Skewness	0.6310068611
Sum	198588773
Variance	1.310877446 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52832	8	0.7%
276192	7	0.6%
270525	7	0.6%
97079	6	0.5%
47280	5	0.4%
241719	5	0.4%
151789	5	0.4%
347263	4	0.4%
82041	4	0.4%
186473	4	0.4%
Other values (757)	1079	95.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
242	1	0.1%
5139	1	0.1%
5444	1	0.1%
5693	1	0.1%
7922	1	0.1%
9666	1	0.1%
14869	1	0.1%
17495	1	0.1%
18902	1	0.1%
22405	1	0.1%

Value	Count	Frequency (%)
404649	1	0.1%
403019	1	0.1%
402215	1	0.1%
402060	1	0.1%
400950	1	0.1%
400766	2	0.2%
399729	1	0.1%
399584	1	0.1%
399127	1	0.1%
398930	1	0.1%

courier_id
Real number (ℝ_≥0)

Distinct	321
Distinct (%)	28.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	96332.69136

Minimum	3296
Maximum	177847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	3296
5-th percentile	18349.7
Q1	48473.25
median	104533
Q3	140684
95-th percentile	164384
Maximum	177847
Range	174551
Interquartile range (IQR)	92210.75

Descriptive statistics

Standard deviation	49682.37544
Coefficient of variation (CV)	0.5157374381
Kurtosis	-1.250080908
Mean	96332.69136
Median Absolute Deviation (MAD)	43011.5
Skewness	-0.2213600537
Sum	109241272
Variance	2468338430
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99219	32	2.8%
104533	19	1.7%
61900	18	1.6%
32580	18	1.6%
156557	18	1.6%
3296	16	1.4%
22502	15	1.3%
39733	15	1.3%
123581	14	1.2%
30743	14	1.2%
Other values (311)	955	84.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3296	16	1.4%
3592	1	0.1%
5935	1	0.1%
6715	1	0.1%
6873	10	0.9%
7833	11	1.0%
8625	1	0.1%
9078	1	0.1%
9476	1	0.1%
9549	4	0.4%

Value	Count	Frequency (%)
177847	2	0.2%
175912	1	0.1%
175555	2	0.2%
175485	3	0.3%
174186	3	0.3%
173409	3	0.3%
172700	1	0.1%
172686	1	0.1%
172399	2	0.2%
172301	2	0.2%

vehicle_type
Categorical

Distinct	7
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	70.1 KiB

bicycle	849
car	217
walker	36
truck	10
van	10
Other values (2)	12

Length

Max length	10
Median length	7
Mean length	6.157848325
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bicycle
2nd row	bicycle
3rd row	bicycle
4th row	bicycle
5th row	bicycle

Common Values

Value	Count	Frequency (%)
bicycle	849	74.9%
car	217	19.1%
walker	36	3.2%
truck	10	0.9%
van	10	0.9%
scooter	9	0.8%
motorcycle	3	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
bicycle	849	74.9%
car	217	19.1%
walker	36	3.2%
truck	10	0.9%
van	10	0.9%
scooter	9	0.8%
motorcycle	3	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pickup_place
Categorical

HIGH CARDINALITY

Distinct	189
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	80.1 KiB

The Meatball Shop	96
Blue Ribbon Sushi	66
sweetgreen	55
RedFarm Broadway	44
Rubirosa	28
Other values (184)	845

Length

Max length	33
Median length	14
Mean length	14.59259259
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63 ?
Unique (%)	5.6%

Sample

1st row	Blue Ribbon Sushi
2nd row	Friedman's Lunch
3rd row	The Grey Dog - University
4th row	Blue Ribbon Sushi Bar & Grill
5th row	ilili Restaurant

Common Values

Value	Count	Frequency (%)
The Meatball Shop	96	8.5%
Blue Ribbon Sushi	66	5.8%
sweetgreen	55	4.9%
RedFarm Broadway	44	3.9%
Rubirosa	28	2.5%
TAO	28	2.5%
RedFarm Hudson	26	2.3%
Parm	25	2.2%
Han Dynasty	25	2.2%
Sushi of Gari 46	23	2.0%
Other values (179)	718	63.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sushi	164	5.9%
the	137	4.9%
blue	109	3.9%
ribbon	107	3.9%
shop	99	3.6%
meatball	96	3.5%
redfarm	70	2.5%
	68	2.5%
sweetgreen	55	2.0%
bar	47	1.7%
Other values (299)	1819	65.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

place_category
Categorical

HIGH CORRELATION

Distinct	36
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	71.2 KiB

Italian	188
Japanese	181
Chinese	116
Sushi	91
American	89
Other values (31)	469

Length

Max length	16
Median length	7
Mean length	7.220458554
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.3%

Sample

1st row	Japanese
2nd row	Breakfast
3rd row	Coffee
4th row	Japanese
5th row	Middle Eastern

Common Values

Value	Count	Frequency (%)
Italian	188	16.6%
Japanese	181	16.0%
Chinese	116	10.2%
Sushi	91	8.0%
American	89	7.8%
Salad	56	4.9%
Burger	46	4.1%
Seafood	35	3.1%
Indian	33	2.9%
Mexican	33	2.9%
Other values (26)	266	23.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
italian	188	15.8%
japanese	181	15.2%
chinese	116	9.7%
american	104	8.7%
sushi	91	7.6%
salad	56	4.7%
burger	46	3.9%
seafood	35	2.9%
eastern	33	2.8%
mexican	33	2.8%
Other values (29)	309	25.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

item_name
Categorical

HIGH CARDINALITY

Distinct	774
Distinct (%)	68.3%
Missing	0
Missing (%)	0.0%
Memory size	83.6 KiB

Chicken	18
Edamame	10
Spicy Tuna & Tempura Flakes	9
Cheeseburger	9
Classic Beef	9
Other values (769)	1079

Length

Max length	79
Median length	15
Mean length	16.77160494
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	609 ?
Unique (%)	53.7%

Sample

1st row	Spicy Tuna & Tempura Flakes
2nd row	Sweet Potato Fries
3rd row	Three Eggs Any Style
4th row	Unagi
5th row	Hommus

Common Values

Value	Count	Frequency (%)
Chicken	18	1.6%
Edamame	10	0.9%
Spicy Tuna & Tempura Flakes	9	0.8%
Cheeseburger	9	0.8%
Classic Beef	9	0.8%
Sake	8	0.7%
Miso	8	0.7%
Barest Burger	8	0.7%
Kale Caesar	8	0.7%
House Salad	8	0.7%
Other values (764)	1039	91.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicken	102	3.4%
	79	2.6%
salad	66	2.2%
spicy	66	2.2%
roll	56	1.8%
tuna	37	1.2%
rice	35	1.2%
with	32	1.1%
pork	32	1.1%
dumplings	32	1.1%
Other values (898)	2494	82.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

item_quantity
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.16313933

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5321269284
Coefficient of variation (CV)	0.4574919915
Kurtosis	23.2637379
Mean	1.16313933
Median Absolute Deviation (MAD)	0
Skewness	4.325086616
Sum	1319
Variance	0.2831590679
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	1005	88.6%
2	93	8.2%
3	21	1.9%
4	12	1.1%
6	2	0.2%
5	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1005	88.6%
2	93	8.2%
3	21	1.9%
4	12	1.1%
5	1	0.1%
6	2	0.2%

Value	Count	Frequency (%)
6	2	0.2%
5	1	0.1%
4	12	1.1%
3	21	1.9%
2	93	8.2%
1	1005	88.6%

item_category_name
Categorical

HIGH CARDINALITY

Distinct	321
Distinct (%)	28.3%
Missing	0
Missing (%)	0.0%
Memory size	76.2 KiB

Appetizers	58
Salads	36
Signatures	35
Naked Balls	33
Dim Sum	31
Other values (316)	941

Length

Max length	53
Median length	10
Mean length	11.67283951
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	178 ?
Unique (%)	15.7%

Sample

1st row	Maki (Special Rolls)
2nd row	Market Sides
3rd row	Breakfast
4th row	Taiseyo (Atlantic Ocean)
5th row	Dips

Common Values

Value	Count	Frequency (%)
Appetizers	58	5.1%
Salads	36	3.2%
Signatures	35	3.1%
Naked Balls	33	2.9%
Dim Sum	31	2.7%
Sandwiches	28	2.5%
Maki (Special Rolls)	24	2.1%
Sides	22	1.9%
Entrees	21	1.9%
Rolls	20	1.8%
Other values (311)	826	72.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	91	4.4%
appetizers	82	3.9%
rolls	79	3.8%
salads	72	3.4%
sushi	54	2.6%
dinner	52	2.5%
sides	41	2.0%
special	37	1.8%
sandwiches	36	1.7%
signatures	35	1.7%
Other values (322)	1510	72.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

how_long_it_took_to_order
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	862
Distinct (%)	76.0%
Missing	0
Missing (%)	0.0%
Memory size	71.0 KiB

06:36.3	5
07:34.7	4
10:48.8	4
21:41.4	4
06:02.0	4
Other values (857)	1113

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	655 ?
Unique (%)	57.8%

Sample

1st row	03:45.0
2nd row	09:19.6
3rd row	07:40.6
4th row	10:21.7
5th row	05:17.0

Common Values

Value	Count	Frequency (%)
06:36.3	5	0.4%
07:34.7	4	0.4%
10:48.8	4	0.4%
21:41.4	4	0.4%
06:02.0	4	0.4%
02:42.0	4	0.4%
08:04.4	4	0.4%
06:19.9	4	0.4%
08:04.8	4	0.4%
03:03.8	4	0.4%
Other values (852)	1093	96.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
06:36.3	5	0.4%
08:04.8	4	0.4%
15:18.0	4	0.4%
05:17.8	4	0.4%
14:36.9	4	0.4%
04:34.3	4	0.4%
11:37.0	4	0.4%
03:03.8	4	0.4%
07:34.7	4	0.4%
06:19.9	4	0.4%
Other values (852)	1093	96.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pickup_lat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	213
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.74112718

Minimum	40.67176012
Maximum	40.8180821
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	40.67176012
5-th percentile	40.71811007
Q1	40.72362962
median	40.735725
Q3	40.75893876
95-th percentile	40.7821167
Maximum	40.8180821
Range	0.14632198
Interquartile range (IQR)	0.035309145

Descriptive statistics

Standard deviation	0.02226077121
Coefficient of variation (CV)	0.0005463955652
Kurtosis	0.4822409652
Mean	40.74112718
Median Absolute Deviation (MAD)	0.01297043
Skewness	0.4955914944
Sum	46200.43822
Variance	0.0004955419349
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.72610966	66	5.8%
40.7821167	44	3.9%
40.72154512	36	3.2%
40.74507859	33	2.9%
40.72274859	28	2.5%
40.76285776	28	2.5%
40.73421385	26	2.3%
40.72301983	25	2.2%
40.732213	25	2.2%
40.78407726	23	2.0%
Other values (203)	800	70.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40.67176012	2	0.2%
40.67347806	2	0.2%
40.67425095	3	0.3%
40.67768312	2	0.2%
40.67928937	1	0.1%
40.67969421	1	0.1%
40.6867331	1	0.1%
40.68749724	1	0.1%
40.687689	4	0.4%
40.68853911	1	0.1%

Value	Count	Frequency (%)
40.8180821	6	0.5%
40.80254961	4	0.4%
40.79606666	1	0.1%
40.79039976	1	0.1%
40.78761311	3	0.3%
40.78516004	6	0.5%
40.78487734	4	0.4%
40.78407726	23	2.0%
40.78398734	1	0.1%
40.7821167	44	3.9%

pickup_lon
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	212
Distinct (%)	18.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-73.98871594

Minimum	-74.01544645
Maximum	-73.95023268
Zeros	0
Zeros (%)	0.0%
Negative	1134
Negative (%)	100.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	-74.01544645
5-th percentile	-74.0085433
Q1	-74.000286
median	-73.98882151
Q3	-73.9807391
95-th percentile	-73.95754527
Maximum	-73.95023268
Range	0.06521377
Interquartile range (IQR)	0.0195469

Descriptive statistics

Standard deviation	0.01390595026
Coefficient of variation (CV)	-0.0001879469062
Kurtosis	0.1086269355
Mean	-73.98871594
Median Absolute Deviation (MAD)	0.00933504
Skewness	0.6974039548
Sum	-83903.20388
Variance	0.0001933754526
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-74.00249186	66	5.8%
-73.9807391	44	3.9%
-73.98884243	36	3.2%
-73.98882151	33	2.9%
-73.971619	28	2.5%
-73.99606192	28	2.5%
-74.00620203	26	2.3%
-73.988072	25	2.2%
-73.995854	25	2.2%
-73.97762241	23	2.0%
Other values (202)	800	70.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-74.01544645	1	0.1%
-74.01055746	3	0.3%
-74.01010414	1	0.1%
-74.00973201	22	1.9%
-74.00874988	12	1.1%
-74.0086925	17	1.5%
-74.0085433	3	0.3%
-74.00825065	17	1.5%
-74.00812268	2	0.2%
-74.00751114	10	0.9%

Value	Count	Frequency (%)
-73.95023268	4	0.4%
-73.95165604	7	0.6%
-73.95278683	6	0.5%
-73.9544744	4	0.4%
-73.95518219	5	0.4%
-73.95524025	1	0.1%
-73.95592661	4	0.4%
-73.95633415	18	1.6%
-73.95754527	9	0.8%
-73.95922147	2	0.2%

dropoff_lat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	737
Distinct (%)	65.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.74346596

Minimum	40.65214519
Maximum	40.848324
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	40.65214519
5-th percentile	40.71021966
Q1	40.72534655
median	40.7405728
Q3	40.76166155
95-th percentile	40.78353229
Maximum	40.848324
Range	0.19617881
Interquartile range (IQR)	0.036315

Descriptive statistics

Standard deviation	0.02412616962
Coefficient of variation (CV)	0.00059214819
Kurtosis	0.4244660661
Mean	40.74346596
Median Absolute Deviation (MAD)	0.0159939
Skewness	0.2891951503
Sum	46203.09039
Variance	0.0005820720606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.7324282	8	0.7%
40.723729	8	0.7%
40.727405	7	0.6%
40.739192	7	0.6%
40.7233295	6	0.5%
40.778028	6	0.5%
40.76460273	6	0.5%
40.7520764	6	0.5%
40.7260641	6	0.5%
40.7506213	5	0.4%
Other values (727)	1069	94.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
40.65214519	2	0.2%
40.66688836	1	0.1%
40.670584	1	0.1%
40.674762	1	0.1%
40.6769679	1	0.1%
40.678161	1	0.1%
40.684222	1	0.1%
40.684756	2	0.2%
40.6853089	1	0.1%
40.686281	1	0.1%

Value	Count	Frequency (%)
40.848324	1	0.1%
40.8090213	1	0.1%
40.8089292	2	0.2%
40.808164	3	0.3%
40.8073556	1	0.1%
40.80646979	1	0.1%
40.806465	1	0.1%
40.80566	2	0.2%
40.8049122	2	0.2%
40.8046535	1	0.1%

dropoff_lon
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	737
Distinct (%)	65.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-73.98668972

Minimum	-74.0176786
Maximum	-73.93488
Zeros	0
Zeros (%)	0.0%
Negative	1134
Negative (%)	100.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	-74.0176786
5-th percentile	-74.00961075
Q1	-74.001549
median	-73.9902554
Q3	-73.975954
95-th percentile	-73.95387245
Maximum	-73.93488
Range	0.0827986
Interquartile range (IQR)	0.025595

Descriptive statistics

Standard deviation	0.01784718385
Coefficient of variation (CV)	-0.0002412215483
Kurtosis	-0.4802902637
Mean	-73.98668972
Median Absolute Deviation (MAD)	0.011989035
Skewness	0.6145893871
Sum	-83900.90614
Variance	0.0003185219714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-74.0040761	8	0.7%
-74.0080594	8	0.7%
-73.991802	7	0.6%
-73.987326	7	0.6%
-74.0010156	6	0.5%
-73.953851	6	0.5%
-73.98010481	6	0.5%
-73.9915018	6	0.5%
-73.9897793	6	0.5%
-73.9902554	5	0.4%
Other values (727)	1069	94.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-74.0176786	2	0.2%
-74.016943	2	0.2%
-74.0168879	1	0.1%
-74.0158665	3	0.3%
-74.015617	1	0.1%
-74.0155753	1	0.1%
-74.0151411	1	0.1%
-74.0148234	1	0.1%
-74.0142304	1	0.1%
-74.014192	2	0.2%

Value	Count	Frequency (%)
-73.93488	4	0.4%
-73.940635	1	0.1%
-73.9410377	3	0.3%
-73.941521	1	0.1%
-73.9421558	1	0.1%
-73.942873	2	0.2%
-73.943522	1	0.1%
-73.9443896	2	0.2%
-73.945621	2	0.2%
-73.94567694	2	0.2%

when_the_delivery_started
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	906
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Memory size	71.1 KiB

37:08.2	4
09:25.3	4
09:45.9	4
29:24.1	4
14:17.6	4
Other values (901)	1114

Length

Max length	8
Median length	7
Mean length	7.100529101
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	724 ?
Unique (%)	63.8%

Sample

1st row	07:18.5
2nd row	14:29.8
3rd row	00:05:55
4th row	00:02:41
5th row	18:37.4

Common Values

Value	Count	Frequency (%)
37:08.2	4	0.4%
09:25.3	4	0.4%
09:45.9	4	0.4%
29:24.1	4	0.4%
14:17.6	4	0.4%
01:50.5	4	0.4%
14:29.8	4	0.4%
46:45.8	4	0.4%
14:42.9	4	0.4%
26:54.6	4	0.4%
Other values (896)	1094	96.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
37:08.2	4	0.4%
09:45.9	4	0.4%
29:24.1	4	0.4%
14:17.6	4	0.4%
01:50.5	4	0.4%
14:29.8	4	0.4%
46:45.8	4	0.4%
14:42.9	4	0.4%
26:54.6	4	0.4%
09:25.3	4	0.4%
Other values (896)	1094	96.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

when_the_courier_arrived_at_pickup
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	912
Distinct (%)	80.4%
Missing	0
Missing (%)	0.0%
Memory size	71.1 KiB

39:48.3	4
14:06.2	4
54:25.5	4
41:08.5	4
15:12.6	4
Other values (907)	1114

Length

Max length	8
Median length	7
Mean length	7.08994709
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	730 ?
Unique (%)	64.4%

Sample

1st row	14:42.7
2nd row	30:04.3
3rd row	18:07.1
4th row	11:48.2
5th row	30:46.4

Common Values

Value	Count	Frequency (%)
39:48.3	4	0.4%
14:06.2	4	0.4%
54:25.5	4	0.4%
41:08.5	4	0.4%
15:12.6	4	0.4%
00:20:16	4	0.4%
46:31.8	4	0.4%
52:15.5	4	0.4%
27:37.8	3	0.3%
18:59.5	3	0.3%
Other values (902)	1096	96.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
39:48.3	4	0.4%
54:25.5	4	0.4%
41:08.5	4	0.4%
15:12.6	4	0.4%
00:20:16	4	0.4%
46:31.8	4	0.4%
52:15.5	4	0.4%
14:06.2	4	0.4%
11:48.2	3	0.3%
27:14.5	3	0.3%
Other values (902)	1096	96.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

when_the_courier_left_pickup
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	897
Distinct (%)	79.1%
Missing	0
Missing (%)	0.0%
Memory size	71.1 KiB

37:43.3	6
37:15.6	5
24:51.9	4
21:46.5	4
26:33.7	4
Other values (892)	1111

Length

Max length	8
Median length	7
Mean length	7.10670194
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	706 ?
Unique (%)	62.3%

Sample

1st row	25:19.4
2nd row	41:53.9
3rd row	34:28.2
4th row	28:00.7
5th row	46:07.1

Common Values

Value	Count	Frequency (%)
37:43.3	6	0.5%
37:15.6	5	0.4%
24:51.9	4	0.4%
21:46.5	4	0.4%
26:33.7	4	0.4%
40:35.6	4	0.4%
11:53.4	4	0.4%
02:03.1	4	0.4%
00:43.4	4	0.4%
00:17:08	4	0.4%
Other values (887)	1091	96.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
37:43.3	6	0.5%
37:15.6	5	0.4%
11:53.4	4	0.4%
00:17:08	4	0.4%
00:43.4	4	0.4%
02:03.1	4	0.4%
04:05.4	4	0.4%
40:35.6	4	0.4%
26:33.7	4	0.4%
21:46.5	4	0.4%
Other values (887)	1091	96.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

when_the_courier_arrived_at_dropoff
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	904
Distinct (%)	79.7%
Missing	0
Missing (%)	0.0%
Memory size	71.1 KiB

51:37.5	4
00:22:43	4
14:26.7	4
39:07.3	4
25:03.7	4
Other values (899)	1114

Length

Max length	8
Median length	7
Mean length	7.090828924
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	716 ?
Unique (%)	63.1%

Sample

1st row	48:27.2
2nd row	00:47:32
3rd row	50:48.9
4th row	45:08.7
5th row	57:18.1

Common Values

Value	Count	Frequency (%)
51:37.5	4	0.4%
00:22:43	4	0.4%
14:26.7	4	0.4%
39:07.3	4	0.4%
25:03.7	4	0.4%
48:41.9	4	0.4%
21:21.4	4	0.4%
46:58.5	4	0.4%
25:14.6	4	0.4%
57:03.7	3	0.3%
Other values (894)	1095	96.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
51:37.5	4	0.4%
14:26.7	4	0.4%
39:07.3	4	0.4%
25:03.7	4	0.4%
48:41.9	4	0.4%
21:21.4	4	0.4%
46:58.5	4	0.4%
25:14.6	4	0.4%
00:22:43	4	0.4%
56:26.3	3	0.3%
Other values (894)	1095	96.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

distance_crossed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	867
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.709489926

Minimum	0.028285878
Maximum	12.02197417
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0.028285878
5-th percentile	0.358160742
Q1	0.8335324383
median	1.361151338
Q3	2.16849021
95-th percentile	4.291154938
Maximum	12.02197417
Range	11.99368829
Interquartile range (IQR)	1.334957772

Descriptive statistics

Standard deviation	1.326627512
Coefficient of variation (CV)	0.7760370457
Kurtosis	7.422955245
Mean	1.709489926
Median Absolute Deviation (MAD)	0.616600904
Skewness	2.205710774
Sum	1938.561576
Variance	1.759940554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.651545467	5	0.4%
1.36931776	4	0.4%
0.305469331	4	0.4%
1.700970587	4	0.4%
4.700592215	4	0.4%
1.407350773	4	0.4%
1.891782664	4	0.4%
2.16849021	4	0.4%
1.716854023	4	0.4%
1.315486031	4	0.4%
Other values (857)	1093	96.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.028285878	3	0.3%
0.12217766	1	0.1%
0.154257586	1	0.1%
0.169509763	1	0.1%
0.17724467	2	0.2%
0.177426277	1	0.1%
0.187082702	1	0.1%
0.207689394	1	0.1%
0.220197656	2	0.2%
0.233452805	2	0.2%

Value	Count	Frequency (%)
12.02197417	1	0.1%
8.867912912	1	0.1%
8.290087092	1	0.1%
7.471350941	1	0.1%
7.44928056	4	0.4%
7.215911332	1	0.1%
7.172200179	1	0.1%
7.158111227	1	0.1%
6.999986686	2	0.2%
6.725983826	1	0.1%

courrier_timing
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	9.0 KiB

distance_m
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	867
Distinct (%)	76.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	170.9489926

Minimum	2.8285878
Maximum	1202.197417
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	2.8285878
5-th percentile	35.81607419
Q1	83.35324382
median	136.1151338
Q3	216.849021
95-th percentile	429.1154938
Maximum	1202.197417
Range	1199.368829
Interquartile range (IQR)	133.4957772

Descriptive statistics

Standard deviation	132.6627512
Coefficient of variation (CV)	0.7760370457
Kurtosis	7.422955245
Mean	170.9489926
Median Absolute Deviation (MAD)	61.6600904
Skewness	2.205710774
Sum	193856.1576
Variance	17599.40554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
65.1545467	5	0.4%
136.931776	4	0.4%
30.5469331	4	0.4%
170.0970587	4	0.4%
470.0592215	4	0.4%
140.7350773	4	0.4%
189.1782664	4	0.4%
216.849021	4	0.4%
171.6854023	4	0.4%
131.5486031	4	0.4%
Other values (857)	1093	96.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.8285878	3	0.3%
12.217766	1	0.1%
15.4257586	1	0.1%
16.9509763	1	0.1%
17.724467	2	0.2%
17.7426277	1	0.1%
18.7082702	1	0.1%
20.7689394	1	0.1%
22.0197656	2	0.2%
23.3452805	2	0.2%

Value	Count	Frequency (%)
1202.197417	1	0.1%
886.7912912	1	0.1%
829.0087092	1	0.1%
747.1350941	1	0.1%
744.928056	4	0.4%
721.5911332	1	0.1%
717.2200179	1	0.1%
715.8111227	1	0.1%
699.9986686	2	0.2%
672.5983826	1	0.1%

timing_s
Real number (ℝ_≥0)

Distinct	896
Distinct (%)	79.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86709.21605

Minimum	549
Maximum	214804
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	549
5-th percentile	32679.05
Q1	59071.75
median	81154
Q3	110520
95-th percentile	157508.75
Maximum	214804
Range	214255
Interquartile range (IQR)	51448.25

Descriptive statistics

Standard deviation	38515.42988
Coefficient of variation (CV)	0.4441907289
Kurtosis	0.07832074773
Mean	86709.21605
Median Absolute Deviation (MAD)	25410
Skewness	0.6052613205
Sum	98328251
Variance	1483438339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
53407	5	0.4%
71280	4	0.4%
184921	4	0.4%
62045	4	0.4%
47521	4	0.4%
68760	4	0.4%
66487	4	0.4%
40023	4	0.4%
91686	4	0.4%
77520	4	0.4%
Other values (886)	1093	96.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
549	1	0.1%
1740	1	0.1%
13506	1	0.1%
14468	2	0.2%
17165	1	0.1%
17524	1	0.1%
19081	1	0.1%
19868	1	0.1%
20100	1	0.1%
20409	2	0.2%

Value	Count	Frequency (%)
214804	1	0.1%
214147	1	0.1%
212700	1	0.1%
207540	1	0.1%
205568	1	0.1%
205443	1	0.1%
203467	1	0.1%
198721	1	0.1%
196624	1	0.1%
196621	1	0.1%

courrier_performance
Real number (ℝ_≥0)

SKEWED

Distinct	918
Distinct (%)	81.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.835059578

Minimum	0.08616650318
Maximum	659.3995703
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	9.0 KiB

Quantile statistics

Minimum	0.08616650318
5-th percentile	0.4760107628
Q1	1.122475926
median	1.770367539
Q3	2.679753812
95-th percentile	4.911317486
Maximum	659.3995703
Range	659.3134038
Interquartile range (IQR)	1.557277886

Descriptive statistics

Standard deviation	19.79803207
Coefficient of variation (CV)	6.983286074
Kurtosis	1070.576172
Mean	2.835059578
Median Absolute Deviation (MAD)	0.7547872536
Skewness	32.33180269
Sum	3214.957561
Variance	391.9620738
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.634824262	4	0.4%
2.74151114	4	0.4%
1.696963404	4	0.4%
1.493486203	4	0.4%
1.824501741	4	0.4%
1.290200562	4	0.4%
0.6978540015	4	0.4%
4.028358358	4	0.4%
4.570299213	3	0.3%
2.574436025	3	0.3%
Other values (908)	1096	96.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08616650318	3	0.3%
0.2202819349	1	0.1%
0.2204782191	1	0.1%
0.249841847	1	0.1%
0.251209445	1	0.1%
0.2529332882	1	0.1%
0.2759209799	1	0.1%
0.2871411137	2	0.2%
0.2907066361	1	0.1%
0.3043795993	1	0.1%

Value	Count	Frequency (%)
659.3995703	1	0.1%
91.16911443	1	0.1%
27.41829726	2	0.2%
18.91749827	1	0.1%
16.9195602	2	0.2%
15.65720096	2	0.2%
15.13275729	1	0.1%
13.35359026	1	0.1%
11.58420356	2	0.2%
8.165562267	1	0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	delivery_id	customer_id	courier_id	vehicle_type	pickup_place	place_category	item_name	item_quantity	item_category_name	how_long_it_took_to_order	pickup_lat	pickup_lon	dropoff_lat	dropoff_lon	when_the_delivery_started	when_the_courier_arrived_at_pickup	when_the_courier_left_pickup	when_the_courier_arrived_at_dropoff	distance_crossed	courrier_timing	distance_m	timing_s	courrier_performance
0	4	1327707	122609	118095	bicycle	Blue Ribbon Sushi	Japanese	Spicy Tuna & Tempura Flakes	2	Maki (Special Rolls)	03:45.0	40.726110	-74.002492	40.709323	-74.015867	07:18.5	14:42.7	25:19.4	48:27.2	2.179898	1 days 06:32:00	217.989784	109920.0	1.983168
1	26	1459871	391543	7833	bicycle	Friedman's Lunch	Breakfast	Sweet Potato Fries	1	Market Sides	09:19.6	40.742681	-74.006236	40.740126	-74.004687	14:29.8	30:04.3	41:53.9	00:47:32	0.312452	0 days 21:12:06	31.245193	76326.0	0.409365
2	27	1419674	81591	96818	bicycle	The Grey Dog - University	Coffee	Three Eggs Any Style	1	Breakfast	07:40.6	40.733787	-73.993035	40.744274	-73.980459	00:05:55	18:07.1	34:28.2	50:48.9	1.576253	1 days 04:32:08	157.625345	102728.0	1.534395
3	29	1282272	97991	72941	bicycle	Blue Ribbon Sushi Bar & Grill	Japanese	Unagi	1	Taiseyo (Atlantic Ocean)	10:21.7	40.767653	-73.982925	40.748828	-73.990139	00:02:41	11:48.2	28:00.7	45:08.7	2.177474	1 days 02:15:02	217.747402	94502.0	2.304157
4	32	1467996	301380	142394	bicycle	ilili Restaurant	Middle Eastern	Hommus	1	Dips	05:17.0	40.744188	-73.987531	40.734994	-73.987709	18:37.4	30:46.4	46:07.1	57:18.1	1.021089	0 days 23:20:00	102.108860	84000.0	1.215582
5	35	1314550	348787	119813	bicycle	Otto Enoteca Pizzeria	Italian	Lentils ��Toscana�۝	1	Vegetables	22:42.9	40.732064	-73.996155	40.767582	-73.983704	40:38.8	00:49:50	27:58.5	55:56.8	4.081993	1 days 13:09:05	408.199259	133745.0	3.052071
6	46	1379189	47440	112646	bicycle	Bareburger	Burger	Barest Burger	1	Bareburgers	06:25.1	40.728478	-73.998392	40.715170	-74.011601	54:08.3	57:53.9	08:40.4	23:14.7	1.851868	0 days 18:19:09	185.186836	65949.0	2.808031
7	50	1322133	49104	156557	car	Empanada Mama (closed)	Mexican	Reggaeton	1	Wheat Flour	05:35.0	40.764217	-73.988321	40.747897	-74.003608	10:10.3	21:06.7	33:26.1	42:17.5	2.225111	0 days 19:47:08	222.511059	71228.0	3.123927
8	57	1401304	68116	67103	truck	Blue Ribbon Sushi Izakaya	Japanese	Rock Shrimp & Crispy Garlic Teriyaki	1	Kushi Yaki (Skewers)	08:13.9	40.721980	-73.988148	40.729999	-73.993688	30:30.5	47:48.3	01:10.3	22:12.8	1.006065	1 days 14:20:03	100.606548	138003.0	0.729017
9	67	1325129	41991	108647	bicycle	Blue Ribbon Sushi Bar & Grill	Japanese	Tamago	1	Taiheiyo (Pacific Ocean)	12:20.8	40.767653	-73.982925	40.763269	-73.963113	01:43.8	23:34.1	38:53.5	49:00.3	1.742220	1 days 07:57:01	174.221990	115021.0	1.514697

Last rows

	Unnamed: 0	delivery_id	customer_id	courier_id	vehicle_type	pickup_place	place_category	item_name	item_quantity	item_category_name	how_long_it_took_to_order	pickup_lat	pickup_lon	dropoff_lat	dropoff_lon	when_the_delivery_started	when_the_courier_arrived_at_pickup	when_the_courier_left_pickup	when_the_courier_arrived_at_dropoff	distance_crossed	courrier_timing	distance_m	timing_s	courrier_performance
1124	5948	1441230	111581	52502	bicycle	Caracas Arepa Bar	South American	De Pabellon	1	Arepas	03:59.0	40.726810	-73.985329	40.734876	-73.986658	07:11.5	14:31.4	35:21.5	43:09.2	0.902734	0 days 15:07:06	90.273419	54426.0	1.658645
1125	5949	1369210	117810	156557	car	Momoya	Sushi	Crispy Rice	1	Signature Roll	05:14.2	40.784077	-73.977622	40.784312	-73.951934	05:37.8	14:53.7	26:14.5	37:21.1	2.168490	0 days 20:22:05	216.849021	73325.0	2.957368
1126	5950	1386459	331143	104533	bicycle	Waverly Diner	American	Chicken Fingers	2	Appetizers & Finger Foods	06:38.1	40.733012	-74.000056	40.732486	-73.996585	14:29.8	36:13.1	52:07.8	55:43.3	0.298980	1 days 01:18:08	29.898015	91088.0	0.328232
1127	5952	1347879	40500	130599	bicycle	J. G. Melon	Burger	Bacon Cheeseburger	1	Main Menu	05:32.2	40.771135	-73.959623	40.766204	-73.960757	08:42.8	19:13.6	34:33.7	42:57.3	0.555946	0 days 18:54:04	55.594609	68044.0	0.817039
1128	5955	1350096	99288	120179	car	Sushi of Gari 46	Sushi	Edamame	1	Appetizers	24:25.1	40.760654	-73.989583	40.716209	-74.015575	19:48.9	59:28.2	37:32.5	57:22.9	5.401863	2 days 11:29:07	540.186311	214147.0	2.522502
1129	5957	1362524	95164	32580	bicycle	Amma	Indian	Naan	3	Breads	05:50.9	40.755702	-73.968587	40.779801	-73.987650	10:23.1	27:14.5	19:05.2	36:27.4	3.122970	1 days 10:13:06	312.297015	123186.0	2.535166
1130	5958	1294906	221206	113300	bicycle	Empanada Mama (closed)	Mexican	Pizza	1	Wheat Flour	07:35.7	40.764217	-73.988321	40.779967	-73.983335	29:10.1	30:32.5	05:52.6	18:40.4	1.798971	0 days 14:10:02	179.897058	51002.0	3.527255
1131	5973	1379953	127103	69993	bicycle	The Grey Dog - University	Coffee	Organic Raw Veggies	1	Small Plates	04:34.4	40.733787	-73.993035	40.736760	-73.982048	00:35:30	43:14.4	50:04.6	57:28.4	0.985082	0 days 15:08:02	98.508153	54482.0	1.808086
1132	5975	1475459	303211	156557	car	Big Nick's Burgers & Pizza	Pizza	Chicken Fingers	1	Appetizers & Side Orders	05:11.1	40.776767	-73.979120	40.793834	-73.941521	47:25.9	48:56.2	11:46.1	25:02.1	3.696529	0 days 14:46:03	369.652924	53163.0	6.953199
1133	5982	1357449	128517	134189	car	RedFarm Broadway	Chinese	Pan-Fried Pork Buns (4)	1	Dim Sum	09:25.3	40.782117	-73.980739	40.732714	-73.995040	30:44.5	40:22.5	06:02.1	31:54.4	5.617469	1 days 11:30:03	561.746900	127803.0	4.395412

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category